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ICASSP
2011
IEEE
14 years 10 months ago
Learning and inference algorithms for partially observed structured switching vector autoregressive models
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
Balakrishnan Varadarajan, Sanjeev Khudanpur
ICCV
2007
IEEE
16 years 9 months ago
Embedded Profile Hidden Markov Models for Shape Analysis
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICAS
2008
IEEE
181views Robotics» more  ICAS 2008»
16 years 1 months ago
Modeling User Interfaces to Workflow Information Systems
This paper addresses the need for designing user interfaces (UIs) to workflow information systems by adopting a model-centric approach. We introduce a conceptual workflow model to...
Josefina Guerrero García, Jean Vanderdonckt...
MMSP
2008
IEEE
125views Multimedia» more  MMSP 2008»
16 years 1 months ago
Selective use of multiple entropy models in audio coding
—The use of multiple entropy models for Huffman or arithmetic coding is widely used to improve the compression efficiency of many algorithms when the source probability distribu...
Sanjeev Mehrotra, Wei-Ge Chen
SMI
2008
IEEE
146views Image Analysis» more  SMI 2008»
16 years 1 months ago
SHREC'08 entry: Local volumetric features for 3D model retrieval
In this paper, we describe a method of shape-based 3D model retrieval that employs a set of 3D, local, multi-scale features extracted from a voxel representation of a 3D model to ...
Kunio Osada, Takahiko Furuya, Ryutarou Ohbuchi